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P1-01: R Shiny apps for introductory statistics


By Daniel Adrian (Grand Valley State University)


Abstract

In this virtual poster, I will demonstrate some of the R Shiny apps I have created to aid teaching and learning in introductory statistics (or data science) courses. Many statistical concepts are dynamically visual in nature -- i.e. as x changes, a corresponding change occurs in y -- and students can struggle to visualize these concepts solely by a verbal description. Shiny apps are well-suited for facilitating students' visualization of these concepts, and more importantly, their interaction with them. They make great lecture supplements, entertaining in-class activities, and homework problems as well.

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